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      Durational aspects of tautosyllabic vowel nasalization in (Brazilian) Portuguese: An airflow investigation

      Journal of Portuguese Linguistics
      Ubiquity Press, Ltd.

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          Abstract

          This study investigates coarticulatory effects caused by the following consonant – either a stop or a fricative – on the duration of the oral and the nasalized portion of the nasal vowel and the nasal murmur in sequences within Portuguese words like tensa [ˈtẽsɐ] ‘tense’ versus tenta [ˈtẽtɐ] ‘(s/he) tries.’ The results replicate previous observations that duration adjustments affect the vowel’s nasalized portion, as is the case for languages in which the speaker intends nasalization. The second hypothesis is that adjustments in duration as a function of the following onset do not affect the nasalization duration, but only the timing of a nasal gesture relatively constant in duration. Results show that irrespective of the following consonant ([s] or [t]), nasalization remains constant in duration. However, a shorter nasal murmur or a more extended postnasal consonantal oral portion does not follow more extended vowel nasalization. As the entire VNC sequence increases on an individual basis, so does the nasalization. Still, increasing nasalization comes at a cost for the duration of the oral part of the vowel irrespective of [s, t]. These results are compatible with that speaking rate influences coordination timing between the beginning of the vowel and the beginning of nasalization.

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          Is Open Access

          Fitting Linear Mixed-Effects Models Using lme4

          Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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            Categorical Data Analysis: Away from ANOVAs (transformation or not) and towards Logit Mixed Models.

            This paper identifies several serious problems with the widespread use of ANOVAs for the analysis of categorical outcome variables such as forced-choice variables, question-answer accuracy, choice in production (e.g. in syntactic priming research), et cetera. I show that even after applying the arcsine-square-root transformation to proportional data, ANOVA can yield spurious results. I discuss conceptual issues underlying these problems and alternatives provided by modern statistics. Specifically, I introduce ordinary logit models (i.e. logistic regression), which are well-suited to analyze categorical data and offer many advantages over ANOVA. Unfortunately, ordinary logit models do not include random effect modeling. To address this issue, I describe mixed logit models (Generalized Linear Mixed Models for binomially distributed outcomes, Breslow & Clayton, 1993), which combine the advantages of ordinary logit models with the ability to account for random subject and item effects in one step of analysis. Throughout the paper, I use a psycholinguistic data set to compare the different statistical methods.
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              On multi-level modeling of data from repeated measures designs: a tutorial

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                Author and article information

                Journal
                Journal of Portuguese Linguistics
                Ubiquity Press, Ltd.
                2397-5563
                1645-4537
                February 11 2021
                May 11 2021
                : 20
                : 1
                : 5
                Article
                10.5334/jpl.236
                b450ea7d-f40b-4d98-b7de-f18b43e2d74d
                © 2021
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